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EAN-130089218403193   EAN-13 barcode 0089218403193
UPC-A089218403193   UPC-A barcode 089218403193
Product NameSOS Coast Guard Vol. 2 Chapters 7-12
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionDVD
Amazon.comA Buy on Amazon ~ B00006II57
Price New2.99 US Dollars    (curriencies)
Price Used0.01 US Dollars    (curriencies)
Run Time125 minutes
Aspect Ratio1.33:1
CastBela Lugosi, Lee Ford, Maxine Doyle, Ralph Byrd, Richard Alexander
Run Time125 minutes
Width5.75 inches    (convert)
Height0.53 inches    (convert)
Length7.75 inches    (convert)
Weight25 hundredths pounds    (convert)
BindingDvd
FormatMultiple Formats, Black & White, NTSC
Published04/06/2010
Run Time125 minutes
Long DescriptionDashing Coast Guard Lieutenant Terry Kent (Ralph Byrd) is determined to stop the villainous Boroff (Bela Lugosi), who has invented a disintegrating gas that's capable of world destruction. Follow Kent through 12 exciting chapters of cliffhanging suspense as he pursues Boroff in a desperate race against time. Republic Pictures loaded SOS Coast Guard with action and exceptional special effects to create one of the best serials of all time.
Created07-01-2006
Modified04-29-2020 10:19:50am
MD5e33f8619a2a796721f2c899d4ad4cdda
SHA2562711091d786c9b63be945240294a78b6c65ccbafbd17007cb94ddbff29caa593
Search Googleby EAN or by Title
Query Time0.0073459

An article of interest

Making use of the tools we offer

Importing our data into your MySQL database

Here we will demonstrate the most basic example of importing the CSV data files that we produce on this site into your MySQL database.

For information about various databases you can use and how to import CSV files into them, please view the overview article "Importing CSV data into your database".

For this example, we are going to import the product data CSV file out of the sample_ean_data.zip but this same process will work on the full data download file. We will also be executing the commands in the MySQL Workbench but you can also use the command line tool with the same commands if you like.

First, start by creating a blank table. Use the table layout described in the read_me file for the most up-to-date table layout. It is suggested that you not use any indexing at this point. You can add indexes later. It is most likely that you will have your own tables where you want to store your data so importing the CSV files can be done into temporary tables and then later copied over to your tables. Leaving off the indexes and constraints on these import tables reduces the risk of import errors. Here is an example:

create table ean_product
(
    EAN13             varchar(13),
    UPCA              varchar(12),
    UPCE              varchar(8),
    SKU               varchar(200),
    PriceNew          numeric(15,2),
    PriceUsed         numeric(15,2),
    PriceDate         date,
    company           varchar(13),
    product           varchar(100),
    description       varchar(100),
    category          int,
    url               varchar(500),
    created           datetime,
    modified          datetime
);

Next we perform the import using the LOAD DATA INFILE command. The path to the file depends on where you saved the data and which operating system you are on. For Windows users you might find your file on the C: drive and Linux users may find your date in your home (~) folder. This example shows a Linux import. Only the path would be different between the operating systems.

LOAD DATA LOCAL
    INFILE '~/sample_ean_data/sample_ean_product.csv' 
    INTO TABLE ean_product
    FIELDS TERMINATED BY ',' ENCLOSED BY '"' ESCAPED BY '\\'
    LINES TERMINATED BY '\r\n'
    IGNORE 1 LINES;

Finally, lets look at the data that we just imported.

SELECT * FROM EAN_PRODUCT;

You may have seen some warnings after the import command. If you are concerned about these warnings, examine the data. It could be that some data has grown beyond the size specified in the read_me file. If you are worried, make the fields larger and try the process again after deleting all of the data out of the table.